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ABSTRACT With the rapid progress of information technologies, cars have been made increasingly intelligent. This allows cars to act as cognitive agents, i.e., to acquire knowledge and understanding of the driving habits and behavioral characteristics of drivers (i.e., driving behavioral fingerprint) through experience. Such knowledge can be then reused to facilitate the interaction between a car and its driver, and to develop better and safer car controls. In this paper, we propose a novel approach to extract the driver’s driving behavioral fingerprints based on our conceptual framework Experience-Oriented Intelligent Things (EOIT). EOIT is a learning system that has the potential to enable Internet of Cognitive Things (IoCT) where knowledge can be extracted from experience, stored, evolved, shared, and reused aiming for cognition and thus intelligent functionality of things. By catching driving data, this approach helps cars to collect the driver’s pedal and steering operations and store them as experience; eventually, it uses obtained experience for the driver’s driving behavioral fingerprint extraction. The initial experimental implementation is presented in the paper to demonstrate our idea, and the test results show that it outperforms the Deep Learning approaches (i.e., deep fully connected neural networks and recurrent neural networks/Long Short-Term Memory networks).
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Autorzy (6)
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Haoxi Zhang
- CUIT, China Cybersecurity
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Fei Li
- CUIT, China Cybersecurity
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Juan Wang
- CUIT, China Cybersecurity
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Yang Zhou
- CUIT, China Cybersecurity
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Cesar Sanin
- CUIT, China Cybersecurity
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Edward Szczerbicki prof. dr hab. inż.
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Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- Licencja
- Copyright (2020 Taylor & Francis Group, LLC)
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
-
CYBERNETICS AND SYSTEMS
nr 51,
strony 103 - 114,
ISSN: 0196-9722 - Język:
- angielski
- Rok wydania:
- 2020
- Opis bibliograficzny:
- Zhang H., Li F., Wang J., Zhou Y., Sanin C., Szczerbicki E.: Experience-Based Cognition for Driving Behavioral Fingerprint Extraction// CYBERNETICS AND SYSTEMS -Vol. 51,iss. 2 (2020), s.103-114
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1080/01969722.2019.1705547
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 133 razy
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